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Oncology
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November 26, 2018
Machine Learning and Imaging Informatics in Oncology
Huan-Hsin Tseng, Lise Wei, Sunan Cui, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 6, 2009
Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant
Jeffrey D Bradley, Issam El Naqa, Robert E Drzymala, et al.
BJR Open
|
November 12, 2020
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
Yi Luo, Huan-Hsin Tseng, Sunan Cui, et al.
Physics in Medicine and Biology
|
September 29, 2021
Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer
Julia M Pakela, Martha M Matuszak, Randall K Ten Haken, et al.
Investigative Radiology
|
December 22, 2007
Targeted contrast agent helps to monitor advanced plaque during progression: a magnetic resonance imaging study in rabbits
Jie Zheng, Elizabeth Ochoa, Bernd Misselwitz, et al.
Medical Physics
|
November 4, 2008
4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling
Deshan Yang, Wei Lu, Daniel A Low, et al.
International Journal of Radiation Oncology, Biology, Physics
|
December 6, 2023
Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy
Denis Dudas, Paymen Ghasemi Saghand, Thomas J Dilling, et al.
Journal of Proteome Research
|
January 14, 2011
A bioinformatics approach for biomarker identification in radiation-induced lung inflammation from limited proteomics data
Jung Hun Oh, Jeffrey M Craft, Reid Townsend, et al.
Oncology
|
May 15, 2020
Oncology Informatics: Status Quo and Outlook
Paul Martin Putora, Michael Baudis, Beth M Beadle, et al.
The British Journal of Radiology
|
July 22, 2022
Current status and future developments in predicting outcomes in radiation oncology
Dipesh Niraula, Sunan Cui, Julia Pakela, et al.
Page
of 24
Search research articles
Search
Showing results (81-90 of 231) with videos related to
Sort By:
Page
of 24
Oncology
|
November 26, 2018
Machine Learning and Imaging Informatics in Oncology
Huan-Hsin Tseng, Lise Wei, Sunan Cui, et al.
International Journal of Radiation Oncology, Biology, Physics
|
October 6, 2009
Stereotactic body radiation therapy for early-stage non-small-cell lung cancer: the pattern of failure is distant
Jeffrey D Bradley, Issam El Naqa, Robert E Drzymala, et al.
BJR Open
|
November 12, 2020
Balancing accuracy and interpretability of machine learning approaches for radiation treatment outcomes modeling
Yi Luo, Huan-Hsin Tseng, Sunan Cui, et al.
Physics in Medicine and Biology
|
September 29, 2021
Dynamic stochastic deep learning approaches for predicting geometric changes in head and neck cancer
Julia M Pakela, Martha M Matuszak, Randall K Ten Haken, et al.
Investigative Radiology
|
December 22, 2007
Targeted contrast agent helps to monitor advanced plaque during progression: a magnetic resonance imaging study in rabbits
Jie Zheng, Elizabeth Ochoa, Bernd Misselwitz, et al.
Medical Physics
|
November 4, 2008
4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling
Deshan Yang, Wei Lu, Daniel A Low, et al.
International Journal of Radiation Oncology, Biology, Physics
|
December 6, 2023
Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy
Denis Dudas, Paymen Ghasemi Saghand, Thomas J Dilling, et al.
Journal of Proteome Research
|
January 14, 2011
A bioinformatics approach for biomarker identification in radiation-induced lung inflammation from limited proteomics data
Jung Hun Oh, Jeffrey M Craft, Reid Townsend, et al.
Oncology
|
May 15, 2020
Oncology Informatics: Status Quo and Outlook
Paul Martin Putora, Michael Baudis, Beth M Beadle, et al.
The British Journal of Radiology
|
July 22, 2022
Current status and future developments in predicting outcomes in radiation oncology
Dipesh Niraula, Sunan Cui, Julia Pakela, et al.
Page
of 24